This past week Nuit Blanche passed its 2,000,000 page views on the Blogger counter and David Donoho received the Shaw prize: Coincidence ? I think not :-). Here is the excerpt I found in the news about the Shaw prize:
"...The mathematical sciences prize was awarded to David L. Donoho for his "contributions to modern mathematical statistics and in particular the development of optimal algorithms for statistical estimation in the presence of noise and of efficient techniques for sparse representation and recovery in large data-sets," the committee said.The prime objective of Dr. Donoho's research is to apply mathematical and statistical tools to solve real-life problems, said Prof. Pak-chung Ching of CUHK and a member of the Shaw Prize council. For example, modern global communication often involves voice signals having to go through several networks as they are transmitted, Prof. Ching said, but sometimes the audio quality contains interference. "How are we going to recover the original signal?" he said. Using statistical means, Dr. Donoho developed algorithms that would diminish noise and interference "by recovering or reconstructing the original signal as much as possible," Prof. Ching said.Dr. Donoho was born in 1957 in Los Angeles and is professor of statistics at Stanford University....."
Since the last Review in April, we featured a slew of implementations including one from Donoho ( The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising ) but there were also numerous other implementations ranging from Sparse FFT, Analysis Based CS, Manifold optimizations (Manopt, qGeomMC ), Phase retrieval Learning Incoherent Dictionaries, CS recovery ( Enhanced Compressed Sensing Recovery with Level Set Normals , SL0-mod PalBOMP/PolBOMP) and finally an application of adaptive CS on Sparse Microbial Communities ( Squeezambler ).
We also had quite a few meetings announcements and with one happening in Paris ( Big Data: Theoretical and Practical Challenges ).
We had two Sunday Morning Insights, one on Prony's algorithm and how it might still be a contender for CS applications and another one on computational cooking as well as two jobs announcements (one in London and the other one in Rennes, France)
Some focus was brought forth on some of the start-ups around the theme we discuss here and how to find real-world applications for compressive sensing. We also looked at Ghost Imaging, Travelling salesman-based compressive sampling, Random Kitchen Sinks, Fast Food and other randomized kernel evaluations, Hierarchical Tucker Tensor Optimization and Blind Sensor Calibration.
The complete list of blog entries for this past month can be found below:
- SPARS13 Abstracts, ROKS 2013 List of Papers, SAHD2013 and other CS/MF related meetings
- Slides from the workshop on Big Data: Theoretical and Practical Challenges
- Another day at the Big Data: Theoretical and Practical Challenges Workshop
- A day at the Big Data: Theoretical and Practical Challenges Workshop
- Sparse FFT implementations
- Analysis Based Blind Compressive Sensing
- Manopt: A Matlab toolbox for optimization on manifolds
- qGeomMC: A Quotient Geometric approach to low-rank Matrix Completion
- Phase retrieval for imaging problems
- SL0-mod: Surpassing the Theoretical L_1 norm phase transition in Compressive Sennsing by Tuning the Smoother l_0 Algorithm:
- PalBOMP/PolBOMP: Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation
- K-SVD/IPR: Learning Incoherent Dictionaries for Sparse Approximation using Iterative Projections and Rotations
- The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising
- Squeezambler: Distilled Single Cell Genome Sequencing and De Novo Assembly for Sparse Microbial Communities
- Enhanced Compressed Sensing Recovery with Level Set Normals
- Start-ups: GraphLab, Wise.io, InView, Centice, Aqueti
- Travelling salesman-based compressive sampling
- Ghost Imaging does 3D and multispectral Imaging
- Random Kitchen Sinks, Fast Food and other randomized kernel evaluations
- Hierarchical Tucker Tensor Optimization - Applications to Tensor Completion
- How to find real-world applications for compressive sensing
- Blind Sensor Calibration in Sparse Recovery Using Convex Optimization and Analysis Based Blind Compressive Sensing
Sunday Morning Insights:
Saturday Morning Videos:
Nuit Blanche Reader's reviews and Feedbacks:
- Nuit Blanche Reader's Reviews: Traveling Salesman, Quantum Imaging and more, Google +1s, Discussions on Nuit Blanche, G+, Reddit and the LinkedIn groups
- Around the Blogs in 78 hours
- Reader's Reviews: Fabio, Quantum Imaging, Dick Hamming's Notes and Around the webs in 78 hours
- Randomized Thoughts and Around the Blogs in 78 hours
Image Credit: NASA/JPL/Space Science Institute
N00210296.jpg was taken on May 30, 2013 and received on Earth May 30, 2013. The camera was pointing toward SATURN-RINGS at approximately 595,552 miles (958,448 kilometers) away, and the image was taken using the CL1 and CL2 filters.
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